Implementing Adaptive Blockchain and Federated Analytics for Secure Cloud-Edge IoT Data Validation

D. Mahaboob Basha, G. Penchalaiah Babu, N. Rajini Kiranmai, A. Viswanatha Rao

Abstract: The proliferation of Internet of Things (IoT) devices has introduced an unprecedented level of connectivity, enabling seamless data exchange across various applications. However, this connectivity has also amplified security and privacy concerns, given the sensitivity of IoT-generated data. Integrating blockchain technology with edge and cloud computing frameworks offers a transformative solution for secure IoT data security. Blockchain ensures decentralized trust, data integrity, and immutability, while edge computing enhances real-time data processing and cloud computing provides scalable storage and processing capabilities. The design and implementation of cloud-based data integrity for IOT based blockchain platform framework describes the Data Integrity Service. This framework is more reliable and data integrity verification can be provided for both the Data Owners and the Data Consumers, without depending on any Third-Party Auditor (TPA). In this analysis, device management is important for organizations to maintain secure, up-to-date data and networks, protecting against unauthorized access. It includes tasks, data visualization, cloud interfaces, big data analytics, blockchain networks, and P2P protocol. The relevant protocols and a subsequent prototype system are implemented. Hence, this analysis shows better results in terms of accuracy, precision and efficiency.

Keywords: Internet of Things, Blockchain, Data Integrity, Big Data Analytics, Data Visualization

How to Cite?: D. Mahaboob Basha, G. Penchalaiah Babu, N. Rajini Kiranmai, A. Viswanatha Rao, "Implementing Adaptive Blockchain and Federated Analytics for Secure Cloud-Edge IoT Data Validation", Volume 14 Issue 12, December 2025, International Journal of Science and Research (IJSR), Pages: 1775-1780, https://www.ijsr.net/getabstract.php?paperid=SR251220224902, DOI: https://dx.doi.org/10.21275/SR251220224902